{"id":"W4400977641","doi":"10.1109/icca62789.2024.10591907","title":"Performance Assessment for Stochastic Anomaly Detectors in Industrial Alarm Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"ALARM; Anomaly detection; Computer science; Detector; Anomaly (physics); Reliability engineering; Real-time computing; Data mining; Engineering; Electrical engineering; Telecommunications; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000165962,0.0000940576,0.0001106068,0.0001194273,0.00002658142,0.00006645302,0.00008656333,0.0000879994,0.00001662085],"category_scores_gemma":[0.00001018338,0.00007942833,0.00003080953,0.0001988881,0.00001335775,0.0001251402,0.00001195392,0.0001768149,0.00001460251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022773,"about_ca_system_score_gemma":0.00004073781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002661603,"about_ca_topic_score_gemma":0.00003328298,"domain_scores_codex":[0.999391,0.000007410764,0.0001651766,0.0001304427,0.0001009378,0.0002050207],"domain_scores_gemma":[0.9997646,0.0000982511,0.000005329176,0.00008337432,0.000008818489,0.0000396065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001259748,0.00002098894,0.003413553,0.0006751037,0.00004328317,0.0000107457,0.0003092033,0.9853879,0.001600718,0.00132266,0.001761295,0.005441981],"study_design_scores_gemma":[0.0002123634,0.00005739387,0.001521741,0.0001487531,0.000006790581,0.000005590459,0.00008553129,0.9951714,0.0004019597,0.000006013758,0.002261791,0.0001206264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686614,0.0004496273,0.02520707,0.00001835791,0.00368575,0.0003990142,0.000007347194,0.0002808474,0.001290552],"genre_scores_gemma":[0.9992798,0.00001407614,0.0001071181,0.000003389458,0.0003387568,0.0001037873,0.000002962196,0.00001572304,0.0001343996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03061835,"threshold_uncertainty_score":0.3238993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786287199416658,"score_gpt":0.239827070004255,"score_spread":0.2219641980100884,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}